物探与化探2013，Vol.37Issue(1)：175-179,5.
基于稀疏变换的地震数据重构方法
A STUDY OF SEISMIC DATA RECOVERY BASED ON SPARSE TRANSFORM
摘要
Abstract
The seismic data recovery from data with missing traces plays an important role in the later stage seismic processing. The authors studied the sparse transform (F-K transform and Curvelet transform) and popular compressed sensing theory, and then combined the two methods together to build the seismic data recovery model which is based on sparse transform. The F-K transform changes the seismic data from the t-x (time-space) domain into the f-k (frequency-wavenumber) domain. Because of the favorable directionality and locality and multidimensionality, the curvelet transform can represent the seismic data in a more compressible way. On the basis of the recovery model,the missed seismic data are recovered by the two sparse transforms and the recovery results are compared and analyzed. The recovery results prove that the Curvelet transform recovery can get the better reconstruction effect than the F-K transform. Finally the Marmousi2 model and practical seismic data are processed, and the result shows that the seismic data recovery model is correct and effective.关键词
地震数据重构/F-K变换/Curvelet变换/压缩感知/Marmousi 2模型Key words
seismic data recovery/F-K transform/curvelet transform/compressed sensing/marmousi 2 model分类
天文与地球科学引用本文复制引用
路交通,曹思远,董建华,张..基于稀疏变换的地震数据重构方法[J].物探与化探,2013,37(1):175-179,5.基金项目
"十二五"国家科技重大专项(2011ZX05024-001-01) （2011ZX05024-001-01）
国家自然科学基金项目(41140033) （41140033）
